{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["capabilities", "common vulnerabilities and exposures", "discoverer", "vulnerable system owner", "vulnerable system", "supported platform", "vulnerable system version"]}, {"event_type": "ransom", "trigger": true, "arguments": ["damage amount", "attack pattern", "victim", "time", "attacker", "place"]}, {"event_type": "phishing", "trigger": true, "arguments": ["attacker", "tool", "place", "trusted entity", "victim", "attack pattern", "damage amount", "time", "purpose"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["vulnerable system", "patch number", "releaser", "vulnerability", "issues addressed", "patch", "time", "common vulnerabilities and exposures", "supported platform", "vulnerable system version"]}, {"event_type": "data breach", "trigger": true, "arguments": ["victim", "time", "attacker", "purpose", "compromised data", "number of victim", "number of data", "place", "attack pattern", "damage amount"]}], "input": "With so many of these messages being sent out , it was perhaps only a matter of time before opportunistic cybercriminals looked to take advantage of the deluge of messages about GDPR and privacy policies arriving in people 's inboxes ."}
{"discover vulnerability": [], "ransom": [], "phishing": [{"trigger": "being sent out", "arguments": {"attacker": "cybercriminals", "tool": "messages", "place": "NAN", "trusted entity": "NAN", "victim": "NAN", "attack pattern": "take advantage of the deluge of messages", "damage amount": "NAN", "time": "NAN", "purpose": "NAN"}}], "patch vulnerability": [], "data breach": []}